Probability And Statistics For Finance

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Rachev, Svetlozar T.

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ISBN:9780470400937
Editorial: Wiley & Sons Ltd.
Fecha de la edición:2010
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Dimensiones: 0 cm x 0 cm
Nº Pág.:654
Idiomas:Ingles,Inglés

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/ Economía Cuantitativa

A comprehensive look at how probability and statistics is applied to the investment process Finance has become increasingly more quantitative, drawing on techniques in probability and statistics that many finance practitioners have not had exposure to before. In order to keep up, you need a firm understanding of this discipline. Probability and Statistics for Finance addresses this issue by showing you how to apply quantitative methods to portfolios, and in all matter of your practices, in a clear, concise manner. Informative and accessible, this guide starts off with the basics and builds to an intermediate level of mastery. Outlines an array of topics in probability and statistics and how to apply them in the world of finance Includes detailed discussions of descriptive statistics, basic probability theory, inductive statistics, and multivariate analysis Offers real-world illustrations of the issues addressed throughout the text The authors cover a wide range of topics in this book, which can be used by all finance professionals as well as students aspiring to enter the field of finance.

Preface
About the Authors
Chapter 1 Introduction 1
Probability vs. Statistics 4
Overview of the Book 5
PART ONE Descrlptive Statistics 15
Chapter 2 Basic Data Analysis 17
Data Types 17
Frequency Distributions 22
Empirical Cumulative Frequency Distribution 27
Data Classes 32
Cumulative Frequency Distributions 41
Concepts Explained in this Chapter 43
Chapter 3 Measures of Location and Spread 45
Parameters vs. Statistics 45
Center and Location 46
Variation 59
Measures of the Linear Transformation 69
Summary of Measures 71
Concepts Explained in this Chapter 73
Chapter 4 Graphical Representation of Data 75
Pie Charts 75
Bar Chart 78
Stem and Leaf Diagram 81
Frequency Histogram 82
Ogive Diagrams 89
Box Plot 91
QQ Plot 96
Concepts Explained in this Chapter 99
Chapter 5 Multivariate Varlables and Distributions 101